Institutional Repository of Radio Astronomy Research Laboratory
| Adaptive scale model reconstruction for radio synthesis imaging | |
Zhang, L.1 ; Mi, L. G.1; Xu, L.2; Zhang, M.3,4; Li, D. Y.1; Liu, X.3,4; Wang, F.5; Xiao, Y. F.1; Zhong-Zu, Wu6
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| 2021-04-01 | |
| Source Publication | Research in Astronomy and Astrophysics
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| ISSN | 1674-4527 |
| Volume | 21Issue:3Pages:63 |
| Contribution Rank | 3 |
| Abstract | A sky model from CLEAN deconvolution is a particularly effective high dynamic range reconstruction in radio astronomy, which can effectively model the sky and remove the sidelobes of the point spread function (PSF) caused by incomplete sampling in the spatial frequency domain. Compared to scale-free and multi-scale sky models, adaptive-scale sky modeling, which can model both compact and diffuse features, has been proven to have better sky modeling capabilities in narrowband simulated data, especially for large-scale features in high-sensitivity observations which are exactly one of the challenges of data processing for the Square Kilometre Array (SKA). However, adaptive scale CLEAN algorithms have not been verified by real observation data and allow negative components in the model. In this paper, we propose an adaptive scale model algorithm with non-negative constraint and wideband imaging capacities, and it is applied to simulated SKA data and real observation data from the Karl G. Jansky Very Large Array (JVLA), an SKA precursor. Experiments show that the new algorithm can reconstruct more physical models with rich details. This work is a step forward for future SKA image reconstruction and developing SKA imaging pipelines. |
| Keyword | methods data analysis techniques image processing techniques interferometric clean deconvolution efficient implementation algorithm Astronomy & Astrophysics |
| Subtype | Article |
| DOI | 10.1088/1674-4527/21/3/63 |
| URL | 查看原文 |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:000657374600001 |
| CSCD ID | CSCD:6932028 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/4725 |
| Collection | 射电天文研究室_星系宇宙学研究团组 射电天文研究室 |
| Corresponding Author | Zhang, L. |
| Affiliation | 1.College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China; 2.Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China; 3.Xinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China; 4.Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Urumqi 830011, China; 5.Center for Astrophysics, Guangzhou University, Guangzhou 510006, China; 6.College of Physics, Guizhou University, Guiyang 550025, China |
| Recommended Citation GB/T 7714 | Zhang, L.,Mi, L. G.,Xu, L.,et al. Adaptive scale model reconstruction for radio synthesis imaging[J]. Research in Astronomy and Astrophysics,2021,21(3):63. |
| APA | Zhang, L..,Mi, L. G..,Xu, L..,Zhang, M..,Li, D. Y..,...&Zhong-Zu, Wu.(2021).Adaptive scale model reconstruction for radio synthesis imaging.Research in Astronomy and Astrophysics,21(3),63. |
| MLA | Zhang, L.,et al."Adaptive scale model reconstruction for radio synthesis imaging".Research in Astronomy and Astrophysics 21.3(2021):63. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Zhang-2021-Adaptive （4179KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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